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Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [1] It was created as a fine-tuning of Stable Diffusion , an existing open-source model for generating images from text prompts, on spectrograms . [ 1 ]
The model was made available on December 15, 2022, with the code also freely available on GitHub. [42] It is one of many models derived from Stable Diffusion. [44] Riffusion is classified within a subset of AI text-to-music generators. In December 2022, Mubert [46] similarly used Stable Diffusion to turn descriptive text into music loops. In ...
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [3]Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian) on training images.
The secondary infringement claim revolves around whether the pre-trained Stable Diffusion software, made available in the UK through platforms like GitHub, HuggingFace, and DreamStudio, constitutes an "article" under sections 22 and 23 of the CDPA. The court will decide whether the term "article" can encompass intangible items such as software ...
In April 2023, Suno released their open-source text-to-speech and audio model called "Bark" on GitHub and Hugging Face, under the MIT License. [4] [5] On March 21, 2024, Suno released its v3 version for all users. [6] The new version allows users to create a limited number of 4-minute songs using a free account. [7]
supercollider.github.io SuperCollider is an environment and audio programming language released originally in 1996 by James McCartney for real-time audio synthesis and algorithmic composition . [ 4 ] [ 5 ]
Real-Time Cmix (RTcmix) is one of the MUSIC-N family of computer music programming languages.RTcmix is descended from the MIX program developed by Paul Lansky at Princeton University in 1978 to perform algorithmic composition using digital audio soundfiles on an IBM 3031 mainframe computer.
After its features were hashed out at the Csound Conference held in 2011 in Hanover, Csound 6 was released in July 2013 and made available on GitHub. [5] Csound 6 is also available for Android. The major new features of Csound 6 include: A bison/flex based parser for the Csound language is now standard.